Xuesong Zhang

Orcid: 0000-0003-4711-7751

Affiliations:
  • USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA


According to our database1, Xuesong Zhang authored at least 13 papers between 2010 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2025
Beyond radiation use efficiency: A mechanistic biochemical photosynthesis model for crop growth simulation and agroecosystem modeling.
Comput. Electron. Agric., 2025

2024
Large-scale urban building function mapping by integrating multi-source web-based geospatial data.
Geo spatial Inf. Sci., November, 2024

Climate change impacts on crop yields: A review of empirical findings, statistical crop models, and machine learning methods.
Environ. Model. Softw., 2024

2023
Advancing the SWAT model to simulate perennial bioenergy crops: A case study on switchgrass growth.
Environ. Model. Softw., December, 2023

DayCent-CUTE: A global sensitivity, auto-calibration, and uncertainty analysis tool for DayCent.
Environ. Model. Softw., November, 2023

Multivariate Calibration of the SWAT Model Using Remotely Sensed Datasets.
Remote. Sens., May, 2023

2022
Replicating measured site-scale soil organic carbon dynamics in the U.S. Corn Belt using the SWAT-C model.
Environ. Model. Softw., 2022

2021
Effects of temporal resolution of river routing on hydrologic modeling and aquatic ecosystem health assessment with the SWAT model.
Environ. Model. Softw., 2021

2020
Modeling riverine dissolved and particulate organic carbon fluxes from two small watersheds in the northeastern United States.
Environ. Model. Softw., 2020

2018
Assessing the performance of a physically-based soil moisture module integrated within the Soil and Water Assessment Tool.
Environ. Model. Softw., 2018

2015
Regional scale cropland carbon budgets: Evaluating a geospatial agricultural modeling system using inventory data.
Environ. Model. Softw., 2015

2013
Efficient multi-objective calibration of a computationally intensive hydrologic model with parallel computing software in Python.
Environ. Model. Softw., 2013

2010
GIS-based spatial precipitation estimation using next generation radar and raingauge data.
Environ. Model. Softw., 2010


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